Protein local conformations arise from a mixture of Gaussian distributions

The classical approaches for protein structure prediction rely either on homology of the protein sequence with a template structure or on ab initio calculations for energy minimization. These methods suffer from disadvantages such as the lack of availability of homologous template structures or intractably large conformational search space, respectively. The recently proposed fragment library based approaches first predict the local structures, which can be used in conjunction with the classical approaches of protein structure prediction. The accuracy of the predictions is dependent on the quality of the fragment library. In this work, we have constructed a library of local conformation classes purely based on geometric similarity. The local conformations are represented using Geometric Invariants, properties that remain unchanged under transformations such as translation and rotation, followed by dimension reduction via principal component analysis. The local conformations are then modeled as a mixture of Gaussian probability distribution functions (PDF). Each one of the Gaussian PDF’s corresponds to a conformational class with the centroid representing the average structure of that class. We find 46 classes when we use an octapeptide as a unit of local conformation. The protein 3-D structure can now be described as a sequence of local conformational classes. Further, it was of interest to see whether the local conformations can be predicted from the amino acid sequences. To that end, we have analyzed the correlation between sequence features and the conformational classes.     

Network of evolutionary processors with splicing rules and permitting context

In this paper we consider networks of evolutionary processors with splicing rules and permitting context (NEPPS) as language generating and computational devices. Such a network consists of several processors placed on the nodes of a virtual graph and are able to perform splicing (which is a biologically motivated operation) on the words present in that node, according to the splicing rules present there. Before applying the splicing operation on words, we check for the presence of certain symbols (permitting context) in the strings on which the rule is applied. Each node is associated with an input and output filter. When the filters are based on random context conditions, one gets the computational power of Turing machines with networks of size two. We also show how these networks can be used to solve NP-complete problems in linear time.     

Cell death: hook, line and linker

The programmed death of particular cells in Caenorhabditis elegans and Drosophila has been shown to occur by non-apoptotic programs regulated by developmental timing. Such alternative programs may be used as a general mechanism to eliminate differentiated, functional cells.     

Phosphorylation of HuR by Chk2 regulates SIRT1 expression

The RNA binding protein HuR regulates the stability of many target mRNAs. Here, we report that HuR associated with the 3' untranslated region of the mRNA encoding the longevity and stress-response protein SIRT1, stabilized the SIRT1 mRNA, and increased SIRT1 expression levels. Unexpectedly, oxidative stress triggered the dissociation of the [HuR-SIRT1 mRNA] complex, in turn promoting SIRT1 mRNA decay, reducing SIRT1 abundance, and lowering cell survival. The cell cycle checkpoint kinase Chk2 was activated by H(2)O(2), interacted with HuR, and was predicted to phosphorylate HuR at residues S88, S100, and T118. Mutation of these residues revealed a complex pattern of HuR binding, with S100 appearing to be important for [HuR-SIRT1 mRNA] dissociation after H(2)O(2). Our findings demonstrate that HuR regulates SIRT1 expression, underscore functional links between the two stress-response proteins, and implicate Chk2 in these processes.     

Soil microorganisms regulate extracellular enzyme production to maximize their growth rate

Biogeochemistry - Soil carbon cycling and ecosystem functioning can strongly depend on how microbial communities regulate their metabolism and adapt to changing environmental conditions to improve...     

A study on biosynthesis of “citral” in lemongrass (<Emphasis Type="Italic">C. flexuosus</Emphasis>) cv. Suvarna

Incorporation of [1-¹³C]-glucose and fosmidomycin was achieved in young and rapidly expanding (aged 15 days) leaves of lemongrass (C. flexuosus) cv. suvarna to elucidate biosynthetic origin of citral (3,7-dimethyl-2,6-octadienal). Analyses of the resultant ¹³C-labeling patterns of citral by quantitative ¹³C-NMR spectroscopy revealed significant %¹³C enrichment at carbons C-3, C-5, C-7 and C-9 in citral. This labeling pattern of the citral is in accordance with their biosynthesis via 2C-methyl-d-erythritol-4-phosphate (MEP) pathway. However, incorporation of [1-¹³C]-glucose achieved in the presence of fosmidomycin resulted in a ¹³C-labeling pattern of citral which did not match with labeling pattern characteristic of the MEP pathway. In addition, we studied the activity pattern of the DXR enzyme following fosmidomycin (25, 50, 75 and 100 μM concentrations) treatment of the young (aged 15 days) leaves for 48 h. The results revealed that fosmidomycin (100 μM) caused drastic inhibition (>50 %) of the DXR enzyme activity. The levels of the citral measured in the fosmidomycin treated leaves were also found to be reduced with decrease the activity of DXR enzyme. In conclusion, the results of the present work revealed the presence of the MEP pathway and its role in the biosynthesis of citral in lemongrass. In addition, the critical role of the DXR enzyme in the citral biosynthesis is highlighted. This is the first report on elucidation of the MEP pathway in lemongrass and may help in deeper understanding of the monoterpene biosynthesis and regulation in the genus Cymbopogon of high industrial significance.     

Functional Loss of Semaphorin 3C and/or Semaphorin 3D and Their Epistatic Interaction with Ret Are Critical to Hirschsprung Disease Liability

Innervation of the gut is segmentally lost in Hirschsprung disease (HSCR), a consequence of cell-autonomous and non-autonomous defects in enteric neuronal cell differentiation, proliferation, migration, or survival. Rare, high-penetrance coding variants and common, low-penetrance non-coding variants in 13 genes are known to underlie HSCR risk, with the most frequent variants in the ret proto-oncogene (RET). We used a genome-wide association (220 trios) and replication (429 trios) study to reveal a second non-coding variant distal to RET and a non-coding allele on chromosome 7 within the class 3 Semaphorin gene cluster. Analysis in Ret wild-type and Ret-null mice demonstrates specific expression of Sema3a, Sema3c, and Sema3d in the enteric nervous system (ENS). In zebrafish embryos, sema3 knockdowns show reduction of migratory ENS precursors with complete ablation under conjoint ret loss of function. Seven candidate receptors of Sema3 proteins are also expressed within the mouse ENS and their expression is also lost in the ENS of Ret-null embryos. Sequencing of SEMA3A, SEMA3C, and SEMA3D in 254 HSCR-affected subjects followed by in silico protein structure modeling and functional analyses identified five disease-associated alleles with loss-of-function defects in semaphorin dimerization and binding to their cognate neuropilin and plexin receptors. Thus, semaphorin 3C/3D signaling is an evolutionarily conserved regulator of ENS development whose dys-regulation is a cause of enteric aganglionosis.